AI Engineer - GraphRAG

Aubay UK; Greater London; Ibrido; GBP 80.000 - 120.000; Tempo pieno

Descrizione del lavoro

Aubay UK is seeking an experienced AI Engineer with deep expertise in GraphRAG, knowledge graphs and modern AI engineering to join a high-profile Trading & Supply Emerging Technology initiative. This 6‑month contract inside IR35 focuses on researching, prototyping and scaling advanced AI capabilities that combine LLMs, graph-based retrieval, semantic technologies and agentic AI.

The role collaborates with front-office users to validate hypotheses, identify high-value opportunities and build

Competenze

• Strong hands-on experience designing and delivering GraphRAG solutions in enterprise.
• Experience with Azure AI Foundry (or equivalent AI platforms), LangChain and/or LangGraph.
• Practical expertise in knowledge graph design, graph schemas, ontologies, entities, relationships and traversal patterns.
• Experience combining knowledge graphs with LLMs, RAG architectures and semantic/vector retrieval.
• Experience with graph databases such as Neo4j or equivalent technologies.
• Strong AI engineering and software development experience using modern programming frameworks and cloud-native architectures.
• Experience building scalable solutions using LLMs, AI agents and advanced AI frameworks.
• Strong understanding of semantic modelling, GraphQL and graph-based architectures.
• Experience supporting or building technology for front-office trading teams.
• Practical understanding of how trading decisions are informed by market data, analytics, positions, forecasts and qualitative information.
• Experience evolving experimental concepts into scalable production-ready solutions.
• Strong understanding of APIs, cloud platforms, enterprise integration, data engineering and

Mansioni

• Design and build GraphRAG and knowledge graph-based AI solutions.
• Create graph data models, ontologies and semantic representations for complex business domains.
• Develop retrieval and reasoning approaches combining graph traversal, vector search and LLM capabilities.
• Partner directly with front-office users to understand workflows, challenges and decisionmaking processes.
• Research and evaluate emerging AI technologies and techniques.
• Rapidly prototype innovative solutions and assess commercial value.
• Build solutions with scalability, maintainability and production adoption in mind.
• Translate complex business and trading concepts into AI-ready technical models.
• Integrate AI solutions using APIs, GraphQL and enterprise platforms.
• Contribute to AI architecture, strategy, governance and responsible deployment practices.
• Support evaluation, monitoring and guardrails for AI-enabled capabilities.
• Focus on a small number of strategic priorities to maximise business impact.

Conoscenze

GraphRAG

Knowledge graphs

LangChain

LangGraph

LLMs

Semantic retrieval

GraphQL

Cloud-native architectures

Front-office trading tech

APIs

Strumenti

Neo4j

Azure AI Foundry

Descrizione del lavoro

Aubay UK is seeking an experienced AI Engineer with deep expertise in GraphRAG, knowledge graphs and modern AI engineering to join a high-profile Trading & Supply Emerging Technology initiative. This is a 6‑month contract inside IR35 focused on researching, prototyping and scaling advanced AI capabilities that combine LLMs, graph-based retrieval, semantic technologies and agentic AI. The role will work closely with front-office users to identify high-value opportunities, validate hypotheses and build solutions with a credible path to production.

Location

Waterloo, London. Hybrid working model with 2–3 days per week onsite.

Required Skills and Experience

• Strong hands-on experience designing and delivering GraphRAG solutions in enterprise
• Experience with Azure AI Foundry (or equivalent AI platforms), LangChain and/or LangGraph.
• Practical expertise in knowledge graph design, graph schemas, ontologies, entities, relationships and traversal patterns.
• Experience combining knowledge graphs with LLMs, RAG architectures and semantic/vector retrieval.
• Experience with graph databases such as Neo4j or equivalent technologies.
• Strong AI engineering and software development experience using modern programming frameworks and cloud-native architectures.
• Experience building scalable solutions using LLMs, AI agents and advanced AI frameworks.
• Strong understanding of semantic modelling, GraphQL and graph-based architectures.
• Experience supporting or building technology for front-office trading teams.
• Practical understanding of how trading decisions are informed by market data, analytics, positions, forecasts and qualitative information.
• Experience evolving experimental concepts into scalable production-ready solutions.
• Strong understanding of APIs, cloud platforms, enterprise integration, data engineering and

Desired Skills and Experience

• Experience within commodities, energy or trading markets.
• Knowledge of agentic AI, semantic layers and advanced retrieval technique
• Experience working with traders, quantitative analysts, market analysts or trading technology teams.
• Understanding of market fundamentals, pricing, exposures, forecasts and physical trading flows.
• Awareness of how qualitative information such as news, regulation and geopolitical events
• Knowledge of Trading & Supply business processes across front, middle and back office functions.

Role Responsibilities

• Design and build GraphRAG and knowledge graph-based AI solutions.
• Create graph data models, ontologies and semantic representations for complex business domains.
• Develop retrieval and reasoning approaches combining graph traversal, vector search and LLM capabilities.
• Partner directly with front-office users to understand workflows, challenges and decisionmaking processes.
• Research and evaluate emerging AI technologies and techniques.
• Rapidly prototype innovative solutions and assess commercial value.
• Build solutions with scalability, maintainability and production adoption in mind.
• Translate complex business and trading concepts into AI-ready technical models.
• Integrate AI solutions using APIs, GraphQL and enterprise platforms.
• Contribute to AI architecture, strategy, governance and responsible deployment practices.
• Support evaluation, monitoring and guardrails for AI-enabled capabilities.
• Focus on a small number of strategic priorities to maximise business impact.

About Aubay UK

Aubay UK is a trusted IT insourcing and business scaling partner, helping organisations deliver transformation through high-performing teams, offering roles across London, the West Midlands and Belfast. Based in Canary Wharf, we take on a people-first approach, enabling IT consultants to work on meaningful projects across the Energy, FinTech, and financial services sectors, while building stable careers, gaining valuable project exposure and benefiting from long-term development in a supportive working environment. Built on reliability and partnership, and backed by a wider global Aubay Group network of more than 9,000 experts, we offer a low-risk, high-value delivery model.